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Queuing theory and the management of Waiting-time in Hospitals: The case of Anglo Gold Ashanti Hospital in Ghana

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  • Sam Afrane
  • Alex Appah

Abstract

Queuing is a major challenge for healthcare services all over the world, but particularly so in developing countries. Application of queuing theory to enhance decision making to improve this problem is not commonly used by managers in developing countries in contrast to their counterparts in the developed world. This study investigates the application of queuing theory and modelling to the queuing problem at the out-patient department at AngloGold Ashanti hospital in Obuasi, Ghana. Using a descriptive, observational and ex-post facto case study approach, data was generated, analysed and used to model five capacity scenarios for the outpatient department. It is established that the optimum system performance can be achieved with eight doctors effectively at post from contrast to the prevailing five doctors that were effectively at post. In sum, the study establishes that applying queuing theory and modelling to queuing and capacity challenges can enhance decision making with regards to what will provide optimal performance.

Suggested Citation

  • Sam Afrane & Alex Appah, 2014. "Queuing theory and the management of Waiting-time in Hospitals: The case of Anglo Gold Ashanti Hospital in Ghana," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(2), pages 34-44, February.
  • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:2:p:34-44
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    References listed on IDEAS

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    1. Kim, Seung-Chul & Horowitz, Ira & Young, Karl K. & Buckley, Thomas A., 1999. "Analysis of capacity management of the intensive care unit in a hospital," European Journal of Operational Research, Elsevier, vol. 115(1), pages 36-46, May.
    2. Randolph Hall & David Belson & Pavan Murali & Maged Dessouky, 2006. "Modeling Patient Flows Through the Healthcare System," International Series in Operations Research & Management Science, in: Randolph W. Hall (ed.), Patient Flow: Reducing Delay in Healthcare Delivery, chapter 0, pages 1-44, Springer.
    3. Jeffery K. Cochran & Aseem Bharti, 2006. "A multi-stage stochastic methodology for whole hospital bed planning under peak loading," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 1(1/2), pages 8-36.
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